Df_diagnosis Report

Dataset statistics

Number of variables	18
Number of observations	10646
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.7 MiB
Average record size in memory	362.7 B

Variable types

Categorical	6
Numeric	12

Alerts

`FileName` has a high cardinality: 10646 distinct values	High cardinality
`Beat` has a high cardinality: 742 distinct values	High cardinality
`VentricularRate` is highly correlated with `AtrialRate` and 4 other fields	High correlation
`AtrialRate` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`QRSDuration` is highly correlated with `QOffset`	High correlation
`QTInterval` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`QTCorrected` is highly correlated with `VentricularRate` and 1 other fields	High correlation
`QRSCount` is highly correlated with `VentricularRate` and 4 other fields	High correlation
`QOffset` is highly correlated with `QRSDuration`	High correlation
`TOffset` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`Gender_FEMALE` is highly correlated with `Gender_MALE`	High correlation
`Gender_MALE` is highly correlated with `Gender_FEMALE`	High correlation
`VentricularRate` is highly correlated with `AtrialRate` and 3 other fields	High correlation
`AtrialRate` is highly correlated with `VentricularRate` and 1 other fields	High correlation
`QRSDuration` is highly correlated with `QOffset`	High correlation
`QTInterval` is highly correlated with `VentricularRate` and 2 other fields	High correlation
`QRSCount` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`QOffset` is highly correlated with `QRSDuration`	High correlation
`TOffset` is highly correlated with `VentricularRate` and 2 other fields	High correlation
`Gender_FEMALE` is highly correlated with `Gender_MALE`	High correlation
`Gender_MALE` is highly correlated with `Gender_FEMALE`	High correlation
`VentricularRate` is highly correlated with `AtrialRate` and 3 other fields	High correlation
`AtrialRate` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`QTInterval` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`QRSCount` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`TOffset` is highly correlated with `VentricularRate` and 3 other fields	High correlation
`Gender_FEMALE` is highly correlated with `Gender_MALE`	High correlation
`Gender_MALE` is highly correlated with `Gender_FEMALE`	High correlation
`Gender_MALE` is highly correlated with `Gender_FEMALE`	High correlation
`Rhythm` is highly correlated with `Rhythm_grouped`	High correlation
`Gender_FEMALE` is highly correlated with `Gender_MALE`	High correlation
`Rhythm_grouped` is highly correlated with `Rhythm`	High correlation
`Rhythm` is highly correlated with `VentricularRate` and 5 other fields	High correlation
`VentricularRate` is highly correlated with `Rhythm` and 6 other fields	High correlation
`AtrialRate` is highly correlated with `Rhythm` and 5 other fields	High correlation
`QRSDuration` is highly correlated with `QTCorrected` and 2 other fields	High correlation
`QTInterval` is highly correlated with `Rhythm` and 6 other fields	High correlation
`QTCorrected` is highly correlated with `VentricularRate` and 4 other fields	High correlation
`QRSCount` is highly correlated with `Rhythm` and 6 other fields	High correlation
`QOnset` is highly correlated with `QRSDuration`	High correlation
`QOffset` is highly correlated with `QRSDuration`	High correlation
`TOffset` is highly correlated with `Rhythm` and 6 other fields	High correlation
`Rhythm_grouped` is highly correlated with `Rhythm` and 5 other fields	High correlation
`Gender_FEMALE` is highly correlated with `Gender_MALE`	High correlation
`Gender_MALE` is highly correlated with `Gender_FEMALE`	High correlation
`FileName` is uniformly distributed	Uniform
`FileName` has unique values	Unique

Reproduction

Analysis started	2021-10-13 17:39:00.596636
Analysis finished	2021-10-13 17:39:20.711242
Duration	20.11 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

FileName
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	10646
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	863.0 KiB

MUSE_20180113_171327_27000	1
MUSE_20180712_154810_09000	1
MUSE_20180114_125325_47000	1
MUSE_20180113_135515_20000	1
MUSE_20180210_123445_64000	1
Other values (10641)	10641

Length

Max length	26
Median length	26
Mean length	26
Min length	26

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10646 ?
Unique (%)	100.0%

Sample

1st row	MUSE_20180113_171327_27000
2nd row	MUSE_20180112_073319_29000
3rd row	MUSE_20180111_165520_97000
4th row	MUSE_20180113_121940_44000
5th row	MUSE_20180112_122850_57000

Common Values

Value	Count	Frequency (%)
MUSE_20180113_171327_27000	1	< 0.1%
MUSE_20180712_154810_09000	1	< 0.1%
MUSE_20180114_125325_47000	1	< 0.1%
MUSE_20180113_135515_20000	1	< 0.1%
MUSE_20180210_123445_64000	1	< 0.1%
MUSE_20180113_132809_55000	1	< 0.1%
MUSE_20180116_181417_62000	1	< 0.1%
MUSE_20180115_133059_09000	1	< 0.1%
MUSE_20180119_170619_36000	1	< 0.1%
MUSE_20180112_073033_15000	1	< 0.1%
Other values (10636)	10636	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
muse_20180113_171327_27000	1	< 0.1%
muse_20180116_123940_90000	1	< 0.1%
muse_20180115_132518_01000	1	< 0.1%
muse_20180114_122918_82000	1	< 0.1%
muse_20180111_165520_97000	1	< 0.1%
muse_20180113_121940_44000	1	< 0.1%
muse_20180112_122850_57000	1	< 0.1%
muse_20180112_120347_79000	1	< 0.1%
muse_20180114_075026_69000	1	< 0.1%
muse_20180209_172046_21000	1	< 0.1%
Other values (10636)	10636	99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Rhythm
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	617.7 KiB

SB	3889
SR	1826
AFIB	1780
ST	1568
SVT	587
Other values (6)	996

Length

Max length	5
Median length	2
Mean length	2.397520195
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AFIB
2nd row	SB
3rd row	SA
4th row	SB
5th row	AF

Common Values

Value	Count	Frequency (%)
SB	3889	36.5%
SR	1826	17.2%
AFIB	1780	16.7%
ST	1568	14.7%
SVT	587	5.5%
AF	445	4.2%
SA	399	3.7%
AT	121	1.1%
AVNRT	16	0.2%
AVRT	8	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sb	3889	36.5%
sr	1826	17.2%
afib	1780	16.7%
st	1568	14.7%
svt	587	5.5%
af	445	4.2%
sa	399	3.7%
at	121	1.1%
avnrt	16	0.2%
avrt	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Beat
Categorical

HIGH CARDINALITY

Distinct	742
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	648.2 KiB

NONE	5419
TWC	775
LVHV	577
STTC	429
RBBB	189
Other values (737)	3257

Length

Max length	39
Median length	4
Mean length	5.339000564
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	458 ?
Unique (%)	4.3%

Sample

1st row	RBBB TWC
2nd row	TWC
3rd row	NONE
4th row	NONE
5th row	STDD STTC

Common Values

Value	Count	Frequency (%)
NONE	5419	50.9%
TWC	775	7.3%
LVHV	577	5.4%
STTC	429	4.0%
RBBB	189	1.8%
LVHV TWC	178	1.7%
ALS	130	1.2%
LVHV STTC	123	1.2%
STDD STTC TWC	105	1.0%
1AVB	103	1.0%
Other values (732)	2618	24.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
none	5419	38.1%
twc	1906	13.4%
lvhv	1314	9.2%
sttc	1170	8.2%
rbbb	460	3.2%
stdd	406	2.9%
als	385	2.7%
vpb	310	2.2%
apb	278	2.0%
1avb	252	1.8%
Other values (47)	2313	16.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PatientAge
Real number (ℝ_≥0)

Distinct	95
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.18683073

Minimum	4
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	4
5-th percentile	25
Q1	49
median	62
Q3	72
95-th percentile	85
Maximum	98
Range	94
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	18.03001879
Coefficient of variation (CV)	0.3046288941
Kurtosis	0.09198212253
Mean	59.18683073
Median Absolute Deviation (MAD)	11
Skewness	-0.6110209811
Sum	630103
Variance	325.0815776
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69	309	2.9%
67	281	2.6%
68	277	2.6%
63	274	2.6%
64	271	2.5%
60	258	2.4%
71	251	2.4%
65	247	2.3%
61	247	2.3%
62	244	2.3%
Other values (85)	7987	75.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	13	0.1%
5	26	0.2%
6	15	0.1%
7	16	0.2%
8	20	0.2%
9	26	0.2%
10	20	0.2%
11	17	0.2%
12	14	0.1%
13	16	0.2%

Value	Count	Frequency (%)
98	2	< 0.1%
97	3	< 0.1%
96	5	< 0.1%
95	7	0.1%
94	24	0.2%
93	15	0.1%
92	35	0.3%
91	40	0.4%
90	37	0.3%
89	68	0.6%

VentricularRate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	189
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.13610746

Minimum	34
Maximum	263
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	34
5-th percentile	50
Q1	57
median	73
Q3	104
95-th percentile	157
Maximum	263
Range	229
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	34.45534858
Coefficient of variation (CV)	0.4095191662
Kurtosis	1.368993575
Mean	84.13610746
Median Absolute Deviation (MAD)	18
Skewness	1.294592488
Sum	895713
Variance	1187.171046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	608	5.7%
58	585	5.5%
57	537	5.0%
56	446	4.2%
55	376	3.5%
54	293	2.8%
53	267	2.5%
52	199	1.9%
102	164	1.5%
101	153	1.4%
Other values (179)	7018	65.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
34	2	< 0.1%
35	3	< 0.1%
37	2	< 0.1%
39	2	< 0.1%
40	7	0.1%
41	12	0.1%
42	9	0.1%
43	19	0.2%
44	25	0.2%
45	41	0.4%

Value	Count	Frequency (%)
263	1	< 0.1%
244	1	< 0.1%
241	1	< 0.1%
238	1	< 0.1%
230	1	< 0.1%
228	1	< 0.1%
225	1	< 0.1%
222	2	< 0.1%
220	2	< 0.1%
218	1	< 0.1%

AtrialRate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	253
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	92.57786962

Minimum	0
Maximum	535
Zeros	12
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	57
median	72
Q3	106
95-th percentile	200.75
Maximum	535
Range	535
Interquartile range (IQR)	49

Descriptive statistics

Standard deviation	60.09394004
Coefficient of variation (CV)	0.6491177674
Kurtosis	11.5120293
Mean	92.57786962
Median Absolute Deviation (MAD)	18
Skewness	3.018680766
Sum	985584
Variance	3611.28163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	606	5.7%
58	592	5.6%
57	548	5.1%
56	452	4.2%
55	379	3.6%
54	290	2.7%
53	266	2.5%
52	212	2.0%
101	156	1.5%
51	152	1.4%
Other values (243)	6993	65.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12	0.1%
18	1	< 0.1%
20	2	< 0.1%
22	1	< 0.1%
23	2	< 0.1%
24	2	< 0.1%
25	1	< 0.1%
26	2	< 0.1%
27	1	< 0.1%
28	3	< 0.1%

Value	Count	Frequency (%)
535	1	< 0.1%
500	8	0.1%
468	9	0.1%
441	18	0.2%
416	26	0.2%
396	2	< 0.1%
394	24	0.2%
381	1	< 0.1%
375	15	0.1%
366	1	< 0.1%

QRSDuration
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	90.98929175

Minimum	18
Maximum	256
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	18
5-th percentile	70
Q1	80
median	88
Q3	98
95-th percentile	124
Maximum	256
Range	238
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	17.47953989
Coefficient of variation (CV)	0.1921054615
Kurtosis	7.531064262
Mean	90.98929175
Median Absolute Deviation (MAD)	8
Skewness	2.021912096
Sum	968672
Variance	305.5343146
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	715	6.7%
88	690	6.5%
84	687	6.5%
86	676	6.3%
80	647	6.1%
90	601	5.6%
78	567	5.3%
92	564	5.3%
94	540	5.1%
76	491	4.6%
Other values (70)	4468	42.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	1	< 0.1%
52	2	< 0.1%
56	4	< 0.1%
58	11	0.1%
60	19	0.2%
62	34	0.3%
64	58	0.5%
66	88	0.8%
68	148	1.4%
70	215	2.0%

Value	Count	Frequency (%)
256	1	< 0.1%
234	2	< 0.1%
232	1	< 0.1%
218	2	< 0.1%
216	1	< 0.1%
210	1	< 0.1%
208	2	< 0.1%
206	1	< 0.1%
202	2	< 0.1%
200	1	< 0.1%

QTInterval
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	206
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	384.1508548

Minimum	114
Maximum	736
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	114
5-th percentile	280
Q1	344
median	390
Q3	426
95-th percentile	470
Maximum	736
Range	622
Interquartile range (IQR)	82

Descriptive statistics

Standard deviation	59.22628881
Coefficient of variation (CV)	0.1541745595
Kurtosis	0.57756984
Mean	384.1508548
Median Absolute Deviation (MAD)	40
Skewness	-0.2080659055
Sum	4089670
Variance	3507.753286
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
416	178	1.7%
402	164	1.5%
420	163	1.5%
426	159	1.5%
394	158	1.5%
408	155	1.5%
410	155	1.5%
412	154	1.4%
414	153	1.4%
422	151	1.4%
Other values (196)	9056	85.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
114	1	< 0.1%
148	1	< 0.1%
156	1	< 0.1%
164	1	< 0.1%
172	2	< 0.1%
176	1	< 0.1%
192	2	< 0.1%
198	5	< 0.1%
200	2	< 0.1%
202	3	< 0.1%

Value	Count	Frequency (%)
736	1	< 0.1%
694	1	< 0.1%
688	2	< 0.1%
680	1	< 0.1%
668	1	< 0.1%
652	1	< 0.1%
648	1	< 0.1%
640	1	< 0.1%
634	1	< 0.1%
616	1	< 0.1%

QTCorrected
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	295
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	434.1540485

Minimum	219
Maximum	760
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	219
5-th percentile	380
Q1	408
median	430
Q3	456
95-th percentile	502
Maximum	760
Range	541
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	39.35418217
Coefficient of variation (CV)	0.09064566439
Kurtosis	3.030518256
Mean	434.1540485
Median Absolute Deviation (MAD)	24
Skewness	0.9125967803
Sum	4622004
Variance	1548.751654
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
414	151	1.4%
422	151	1.4%
435	150	1.4%
441	146	1.4%
418	145	1.4%
428	145	1.4%
424	140	1.3%
430	139	1.3%
420	139	1.3%
401	133	1.2%
Other values (285)	9207	86.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
219	1	< 0.1%
224	1	< 0.1%
240	1	< 0.1%
269	1	< 0.1%
270	1	< 0.1%
277	1	< 0.1%
283	1	< 0.1%
290	1	< 0.1%
302	1	< 0.1%
303	1	< 0.1%

Value	Count	Frequency (%)
760	1	< 0.1%
699	1	< 0.1%
670	1	< 0.1%
669	1	< 0.1%
658	1	< 0.1%
650	3	< 0.1%
644	1	< 0.1%
643	1	< 0.1%
629	2	< 0.1%
626	1	< 0.1%

RAxis
Real number (ℝ)

Distinct	277
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.62060868

Minimum	-89
Maximum	270
Zeros	82
Zeros (%)	0.8%
Negative	1726
Negative (%)	16.2%
Memory size	83.3 KiB

Quantile statistics

Minimum	-89
5-th percentile	-35
Q1	14
median	46
Q3	68
95-th percentile	89
Maximum	270
Range	359
Interquartile range (IQR)	54

Descriptive statistics

Standard deviation	41.21264796
Coefficient of variation (CV)	1.040182101
Kurtosis	2.579873155
Mean	39.62060868
Median Absolute Deviation (MAD)	26
Skewness	0.02772669064
Sum	421801
Variance	1698.482352
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	144	1.4%
67	137	1.3%
66	136	1.3%
52	135	1.3%
63	133	1.2%
71	133	1.2%
70	132	1.2%
72	132	1.2%
65	132	1.2%
68	130	1.2%
Other values (267)	9302	87.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-89	4	< 0.1%
-88	2	< 0.1%
-87	2	< 0.1%
-86	1	< 0.1%
-85	4	< 0.1%
-84	5	< 0.1%
-83	6	0.1%
-82	4	< 0.1%
-81	3	< 0.1%
-80	2	< 0.1%

Value	Count	Frequency (%)
270	1	< 0.1%
269	2	< 0.1%
268	1	< 0.1%
267	1	< 0.1%
266	2	< 0.1%
264	1	< 0.1%
263	2	< 0.1%
262	1	< 0.1%
261	1	< 0.1%
259	4	< 0.1%

TAxis
Real number (ℝ)

Distinct	356
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.6377043

Minimum	-89
Maximum	270
Zeros	52
Zeros (%)	0.5%
Negative	1473
Negative (%)	13.8%
Memory size	83.3 KiB

Quantile statistics

Minimum	-89
5-th percentile	-44
Q1	19
median	42
Q3	62
95-th percentile	168
Maximum	270
Range	359
Interquartile range (IQR)	43

Descriptive statistics

Standard deviation	57.4780924
Coefficient of variation (CV)	1.287657896
Kurtosis	4.149231872
Mean	44.6377043
Median Absolute Deviation (MAD)	21
Skewness	1.381912279
Sum	475213
Variance	3303.731106
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	160	1.5%
35	158	1.5%
43	151	1.4%
36	150	1.4%
59	150	1.4%
39	147	1.4%
44	144	1.4%
52	141	1.3%
55	138	1.3%
53	138	1.3%
Other values (346)	9169	86.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-89	8	0.1%
-88	5	< 0.1%
-87	8	0.1%
-86	12	0.1%
-85	12	0.1%
-84	12	0.1%
-83	10	0.1%
-82	6	0.1%
-81	14	0.1%
-80	10	0.1%

Value	Count	Frequency (%)
270	8	0.1%
269	9	0.1%
268	12	0.1%
267	9	0.1%
266	12	0.1%
265	7	0.1%
264	5	< 0.1%
263	8	0.1%
262	5	< 0.1%
261	7	0.1%

QRSCount
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	35
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.83947022

Minimum	5
Maximum	40
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	5
5-th percentile	8
Q1	9
median	12
Q3	17
95-th percentile	26
Maximum	40
Range	35
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.676338821
Coefficient of variation (CV)	0.4101557885
Kurtosis	1.339844549
Mean	13.83947022
Median Absolute Deviation (MAD)	3
Skewness	1.284146768
Sum	147335
Variance	32.22082242
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
9	2148	20.2%
10	1393	13.1%
12	703	6.6%
17	702	6.6%
11	675	6.3%
8	647	6.1%
13	603	5.7%
18	511	4.8%
14	473	4.4%
15	406	3.8%
Other values (25)	2385	22.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	2	< 0.1%
6	14	0.1%
7	121	1.1%
8	647	6.1%
9	2148	20.2%
10	1393	13.1%
11	675	6.3%
12	703	6.6%
13	603	5.7%
14	473	4.4%

Value	Count	Frequency (%)
40	4	< 0.1%
38	1	< 0.1%
37	2	< 0.1%
36	9	0.1%
35	15	0.1%
34	18	0.2%
33	28	0.3%
32	27	0.3%
31	56	0.5%
30	73	0.7%

QOnset
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	62
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	219.2605673

Minimum	159
Maximum	240
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	159
5-th percentile	209
Q1	216
median	219
Q3	224
95-th percentile	228
Maximum	240
Range	81
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.410412987
Coefficient of variation (CV)	0.02923650643
Kurtosis	10.53205258
Mean	219.2605673
Median Absolute Deviation (MAD)	4
Skewness	-1.61152252
Sum	2334248
Variance	41.09339466
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
219	844	7.9%
218	811	7.6%
220	731	6.9%
221	686	6.4%
217	634	6.0%
222	546	5.1%
223	538	5.1%
216	525	4.9%
226	497	4.7%
227	488	4.6%
Other values (52)	4346	40.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
159	9	0.1%
160	1	< 0.1%
167	1	< 0.1%
170	1	< 0.1%
171	1	< 0.1%
173	2	< 0.1%
174	4	< 0.1%
176	2	< 0.1%
177	2	< 0.1%
178	1	< 0.1%

Value	Count	Frequency (%)
240	1	< 0.1%
235	1	< 0.1%
234	3	< 0.1%
233	8	0.1%
232	14	0.1%
231	56	0.5%
230	150	1.4%
229	240	2.3%
228	351	3.3%
227	488	4.6%

QOffset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	68
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	264.7552132

Minimum	249
Maximum	331
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	249
5-th percentile	254
Q1	259
median	264
Q3	268
95-th percentile	279.75
Maximum	331
Range	82
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	8.362119544
Coefficient of variation (CV)	0.0315843433
Kurtosis	4.550991894
Mean	264.7552132
Median Absolute Deviation (MAD)	4
Skewness	1.568845557
Sum	2818584
Variance	69.92504328
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
262	687	6.5%
263	633	5.9%
261	628	5.9%
264	626	5.9%
260	611	5.7%
266	588	5.5%
265	574	5.4%
259	530	5.0%
267	512	4.8%
258	495	4.6%
Other values (58)	4762	44.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
249	38	0.4%
250	36	0.3%
251	65	0.6%
252	106	1.0%
253	181	1.7%
254	214	2.0%
255	301	2.8%
256	309	2.9%
257	449	4.2%
258	495	4.6%

Value	Count	Frequency (%)
331	1	< 0.1%
320	1	< 0.1%
316	1	< 0.1%
314	2	< 0.1%
313	1	< 0.1%
312	2	< 0.1%
311	2	< 0.1%
309	1	< 0.1%
308	1	< 0.1%
307	4	< 0.1%

TOffset
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	206
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	411.3359947

Minimum	281
Maximum	582
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	83.3 KiB

Quantile statistics

Minimum	281
5-th percentile	359
Q1	392
median	414
Q3	432
95-th percentile	455
Maximum	582
Range	301
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	29.77740363
Coefficient of variation (CV)	0.07239192292
Kurtosis	0.4523974964
Mean	411.3359947
Median Absolute Deviation (MAD)	20
Skewness	-0.2128567141
Sum	4379083
Variance	886.6937667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
424	174	1.6%
428	171	1.6%
422	170	1.6%
419	169	1.6%
429	159	1.5%
417	159	1.5%
427	157	1.5%
423	152	1.4%
425	150	1.4%
431	149	1.4%
Other values (196)	9036	84.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
281	1	< 0.1%
300	1	< 0.1%
302	1	< 0.1%
307	1	< 0.1%
310	1	< 0.1%
311	1	< 0.1%
312	1	< 0.1%
314	2	< 0.1%
315	2	< 0.1%
316	3	< 0.1%

Value	Count	Frequency (%)
582	1	< 0.1%
564	1	< 0.1%
562	1	< 0.1%
560	1	< 0.1%
559	1	< 0.1%
547	1	< 0.1%
541	1	< 0.1%
539	1	< 0.1%
537	1	< 0.1%
523	1	< 0.1%

Rhythm_grouped
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	623.1 KiB

SB	3889
GSVT	2706
AFIB	2225
SR	1826

Length

Max length	4
Median length	2
Mean length	2.926357317
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AFIB
2nd row	SB
3rd row	GSVT
4th row	SB
5th row	AFIB

Common Values

Value	Count	Frequency (%)
SB	3889	36.5%
GSVT	2706	25.4%
AFIB	2225	20.9%
SR	1826	17.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sb	3889	36.5%
gsvt	2706	25.4%
afib	2225	20.9%
sr	1826	17.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Gender_FEMALE
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	603.1 KiB

0	5956
1	4690

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	5956	55.9%
1	4690	44.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	5956	55.9%
1	4690	44.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Gender_MALE
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	603.1 KiB

1	5956
0	4690

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	5956	55.9%
0	4690	44.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5956	55.9%
0	4690	44.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	FileName	Rhythm	Beat	PatientAge	VentricularRate	AtrialRate	QRSDuration	QTInterval	QTCorrected	RAxis	TAxis	QRSCount	QOnset	QOffset	TOffset	Rhythm_grouped	Gender_FEMALE	Gender_MALE
0	MUSE_20180113_171327_27000	AFIB	RBBB TWC	85	117	234	114	356	496	81	-27	19	208	265	386	AFIB	0	1
1	MUSE_20180112_073319_29000	SB	TWC	59	52	52	92	432	401	76	42	8	215	261	431	SB	1	0
2	MUSE_20180111_165520_97000	SA	NONE	20	67	67	82	382	403	88	20	11	224	265	415	GSVT	1	0
3	MUSE_20180113_121940_44000	SB	NONE	66	53	53	96	456	427	34	3	9	219	267	447	SB	0	1
4	MUSE_20180112_122850_57000	AF	STDD STTC	73	162	162	114	252	413	68	-40	26	228	285	354	AFIB	1	0
5	MUSE_20180112_120347_79000	SB	NONE	46	57	57	70	404	393	38	24	9	225	260	427	SB	1	0
6	MUSE_20180114_075026_69000	AFIB	TWC	80	98	86	74	360	459	69	83	17	215	252	395	AFIB	1	0
7	MUSE_20180209_172046_21000	SR	NONE	46	63	63	90	376	384	24	38	11	221	266	409	SR	0	1
8	MUSE_20180114_075128_92000	SB	NONE	45	59	59	84	390	386	78	68	10	218	260	413	SB	0	1
9	MUSE_20180118_174026_42000	SB	NONE	47	58	58	80	420	412	80	48	10	212	252	422	SB	1	0

Last rows

	FileName	Rhythm	Beat	PatientAge	VentricularRate	AtrialRate	QRSDuration	QTInterval	QTCorrected	RAxis	TAxis	QRSCount	QOnset	QOffset	TOffset	Rhythm_grouped	Gender_FEMALE	Gender_MALE
10636	MUSE_20181222_204246_47000	SVT	VPE	57	184	0	234	354	619	178	144	30	159	276	336	GSVT	0	1
10637	MUSE_20181222_204248_77000	SVT	NONE	23	181	159	74	252	437	69	-1	30	228	265	354	GSVT	1	0
10638	MUSE_20181222_204249_88000	SVT	NONE	69	178	170	122	308	530	57	225	29	203	264	357	GSVT	0	1
10639	MUSE_20181222_204302_49000	SVT	NONE	36	220	220	110	224	428	-77	79	36	212	267	324	GSVT	0	1
10640	MUSE_20181222_204303_61000	SVT	LVHV STTU TWC	36	151	151	88	274	434	67	12	25	218	262	355	GSVT	0	1
10641	MUSE_20181222_204306_99000	SVT	NONE	80	196	73	168	284	513	258	244	32	177	261	319	GSVT	1	0
10642	MUSE_20181222_204309_22000	SVT	NONE	81	162	81	162	294	482	110	-75	27	173	254	320	GSVT	1	0
10643	MUSE_20181222_204310_31000	SVT	NONE	39	152	92	152	340	540	250	38	25	208	284	378	GSVT	0	1
10644	MUSE_20181222_204312_58000	SVT	NONE	76	175	178	128	310	529	98	-83	29	205	269	360	GSVT	0	1
10645	MUSE_20181222_204314_78000	SVT	NONE	75	117	104	140	312	435	263	144	19	208	278	364	GSVT	0	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows